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This paper aims to describe an interdisciplinary and innovative research conducted in Switzerland, at the Geneva School of Business Administration HES-SO and supported by the State Archives of Neuchâtel (Office des archives de l'État de Neuchâtel, OAEN). The problem to be addressed is one of the most classical ones: how to extract and discriminate relevant data in a huge amount of diversified and complex data record formats and contents. The goal of this study is to provide a framework and a proof of concept for a software that helps taking defensible decisions on the retention and disposal of records and data proposed to the OAEN. For this purpose, the authors designed two axes: the archival axis, to propose archival metrics for the appraisal of structured and unstructured data, and the data mining axis to propose algorithmic methods as complementary or/and additional metrics for the appraisal process.

Based on two axes, this exploratory study designs and tests the feasibility of archival metrics that are paired to data mining metrics, to advance, as much as possible, the digital appraisal process in a systematic or even automatic way. Under Axis 1, the authors have initiated three steps: first, the design of a conceptual framework to records data appraisal with a detailed three-dimensional approach (trustworthiness, exploitability, representativeness). In addition, the authors defined the main principles and postulates to guide the operationalization of the conceptual dimensions. Second, the operationalization proposed metrics expressed in terms of variables supported by a quantitative method for their measurement and scoring. Third, the authors shared this conceptual framework proposing the dimensions and operationalized variables (metrics) with experienced professionals to validate them. The expert’s feedback finally gave the authors an idea on: the relevance and the feasibility of these metrics. Those two aspects may demonstrate the acceptability of such method in a real-life archival practice. In parallel, Axis 2 proposes functionalities to cover not only macro analysis for data but also the algorithmic methods to enable the computation of digital archival and data mining metrics. Based on that, three use cases were proposed to imagine plausible and illustrative scenarios for the application of such a solution.

The main results demonstrate the feasibility of measuring the value of data and records with a reproducible method. More specifically, for Axis 1, the authors applied the metrics in a flexible and modular way. The authors defined also the main principles needed to enable computational scoring method. The results obtained through the expert’s consultation on the relevance of 42 metrics indicate an acceptance rate above 80%. In addition, the results show that 60% of all metrics can be automated. Regarding Axis 2, 33 functionalities were developed and proposed under six main types: macro analysis, microanalysis, statistics, retrieval, administration and, finally, the decision modeling and machine learning. The relevance of metrics and functionalities is based on the theoretical validity and computational character of their method. These results are largely satisfactory and promising.

This study offers a valuable aid to improve the validity and performance of archival appraisal processes and decision-making. Transferability and applicability of these archival and data mining metrics could be considered for other types of data. An adaptation of this method and its metrics could be tested on research data, medical data or banking data.

Spam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting internet users. Several features can be used for creating data mining and machine learning based spam classification models. Yet, spammers know that the longer they will use the same set of features for tricking email users the more probably the anti-spam parties might develop tools for combating this kind of annoying email messages. Spammers, so, adapt by continuously reforming the group of features utilized for composing spam emails. For that reason, even though traditional classification methods possess sound classification results, they were ineffective for lifelong classification of spam emails duo to the fact that they might be prone to the so-called “Concept Drift”. In the current study, an enhanced model is proposed for ensuring lifelong spam classification model. For the evaluation purposes, the overall performance of the suggested model is contrasted against various other stream mining classification techniques. The results proved the success of the suggested model as a lifelong spam emails classification method.

Restrictions on social interaction and travel due to the COVID-19 pandemic have affected how researchers approach fieldwork and data collection. Whilst online focus groups have received attention since the 2000s as a method for qualitative data collection, relatively little of the relevant literature appears to have made use of now ubiquitous video calling software and synchronous, interactive discussion tools. Our own experiences in organising fieldwork aimed at understanding the impact of different “future-proofing” strategies for the European agri-food system during this period resulted in several methodological changes being made at short notice. We present an approach to converting in-person focus group to a virtual methodology and provide a checklist for researchers planning their own online focus groups. Our findings suggest data are comparable to in-person focus groups and factors influencing data quality during online focus groups can be safeguarded. There are several key steps, both before and during the focus groups, which can be taken to ensure the smooth running of such events. We share our reflections on this approach and provide a resource for other researchers moving to online-only data collection.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

The main purpose of the study was to identify the key elements that characterize successful grant proposals and the relative importance of issues that constitute difficulties and concerns in preparing the proposals. The study aimed, in particular, to explore grantsmanship perceptions based on the experiences of researchers in Thailand who had, or had not yet, successfully been awarded domestic and/or international research funding.

Anonymous online questionnaires were distributed to researchers in biomedical and public health fields in Thai academic institutes. The online survey asked the anonymous participants to complete a questionnaire comprising both multiple-choice and open-ended questions.

About 19% of 300 respondents had received both domestic and international research grants, and 60% of domestic research grants. The top 5 issues in grant applications were: (1) choosing a topic that matched the grant opportunity, (2) feasibility of research design and methods, (3) suitable research design and methodology, (4) model and theoretical justification, and (5) ethical considerations. Significant differences in perceptions among researchers were found for the feasibility of research design and methods and proposing a reasonable and justifiable budget.

The information derived from this analysis reflected the perceptions of the researchers and may or may not correlate with those of grant agency reviewers. The results of this study may be insightful and instructive for other researchers and form the basis for training and mentoring researchers in informed and effective grantsmanship, particularly novice researchers with limited or no experience in grant proposal writing. This study particularly reflected grantsmanship perceptions among researchers in Thailand. It may also serve to exemplify lessons learned for researchers in other low-income and middle-income countries (LMIC) exposed to similar settings and situations applying for research grants.

Building on the self-determination theory (SDT), the purpose of this study is to empirically examine the influence of work meaningfulness (WM) on employees' involvement in playful work design (PWD) in the context of software development firms in Pakistan.

For the present study, a two-wave employee survey (online questionnaire) was used for data collection. The data were collected through an adopted questionnaire from employees working in software development firms in Pakistan. structural equation modeling and Hayes Process Macro of SPSS were used to analyze data collected from 305 respondents.

The findings of this study show that work meaningfulness and epistemic curiosity (EC) positively and significantly influence employee playful work design strategies. Moreover, the relationship between work meaningfulness and playful work design was partially mediated by employee epistemic curiosity. This mediating role of epistemic curiosity is strengthened by the presence of the perceived leader's autonomous support (LAS).

Employees improve their personal work experience through playful work design. Theoretically, this study contributes to the body of knowledge on the factors (work meaningfulness, epistemic curiosity and leader's autonomous support) that can influence employees' self-determination to design fun and competition into their work. This study contributes to the theory by introducing the antecedents (work meaningfulness and epistemic curiosity), of employee playful work design and explores the role of epistemic curiosity as a mediator and the leader's autonomous support as a moderator through SDT perspective.

For practitioners, this study pinpoints that software development firms can consider improving employees' perception of work meaningfulness, which can lead them to become epistemically curious to proactively design their work experience for their psychological need fulfillment, well-being and better functioning. Moreover, leader's autonomous support can support involvement in playful work design.

The current study is the first investigation in the Asian context to study the antecedents of playful work design and a critical boundary condition. This study extends the literature on the antecedents of employee playful work design and explores the role of epistemic curiosity as a mediator and the leader's autonomous support as a moderator specifically through a self-determination perspective.

This paper aims to provide an examination of firms’ strategic orientations, innovativeness and performance with large Korean companies.

The authors investigated the impacts of firms’ major key strategic orientations (customer orientation [CO], competitor orientation [PO], technology orientation [TO] and internal/cost orientation [IO]) on firm innovativeness (INNO) and performance outcomes with large Korean companies.

The results of the analysis showed that CO, PO and TO positively influence the innovativeness, which contributes to firm performance.

The authors provide some managerial implications on the multiple roles of strategic orientations on firm INNO and performances, along with limitations of this study and future research directions.

Undertaking research as part of a business degree qualification undoubtedly enables students to develop practical and life-long skills. Nevertheless, students seem to find it challenging undertaking a research project. This study set out to explore the experiences of a group of MBA students who recently undertook their business and management research projects as part of their MBA degree program.

The study was carried out in a UK higher education institution and is based on an MBA business and management research module. The purpose of the module is to enable learners to develop advanced-level independent research and critical problem-solving skills within a business context. The study adopted a qualitative approach to capture a broad mix of students' experiences and perceptions on the module. The sample includes previous MBA students on different cohorts and different nationalities.

Outcomes of the study show that though students are stretched in the business and management project process they develop a diversity of skills required in the workplace while conducting their projects. The study findings also show that the practical implications of the students' projects and progressive support from their project supervisors contribute to the successful completion of their projects and subsequent attainment of their MBA degree.

Outcomes of this study further reveal that undertaking business and management projects creates a rewarding learning experience for learners/students, develops confident graduates as well as enables effective applications of theory into practice.

This study sought to assess perceptions of support for organizational change and model the relationship between support for organizational change and leadership competencies among Extension educators. The knowledge gained through this work should expand current understandings regarding the nature, scope, and value of support for organizational change within the Extension educator role. We found that Extension educators mostly support organizational change. Our study also showed that leadership competencies predict a significant proportion of the total variation in overall support for organizational change. Extension leaders and leadership development practitioners should be aware that leadership education may increase receptivity to organizational change among educators.

The purpose of this paper is to investigate and report students’ perception of service quality in a university by examining the perceptual context of service quality with respect to students’ loyalty behavior, image of the university and culture/values.

A research framework is developed for quality assessment with three hypotheses. A questionnaire with 65 instruments was used for gathering the required data for the analysis. The questionnaire was sent through email to all engineering students. The analysis included descriptive statistics, reliability analysis, gap analysis and hypotheses tests. Seven dimensions of service quality were identified: the original dimensions of the SERVQUAL, namely, reliability, responsiveness, assurance, empathy and tangibles. Two additional dimensions image and culture/value were added for the research to understand perceived service quality and loyalty.

The results provide a significant positive correlation between service quality and student's loyalty. It also shows that there is statistically significant relation between the image of the institution and the perceived service quality, and culture/values of the students in the institution and perceived service quality.

This study used data collected from a survey in the university in a given period.

The findings indicate that to provide quality education, meeting students’ needs, wants and expectations of services quality should be carefully understood and addressed. Management also needs to consider factors such as corporate image and culture/value, as they have the ability to heavily impact the type of services provided by the institution.

The findings presented in this paper fill the gap in the current literature by providing empirical knowledge on the quality of service assessment and customer satisfaction in the higher education context. The study is the first of its kind in Qatar’s context and provides opportunities for higher institutions to focus more on current students’ services. This can lead to an increased brand value representing one of the premier institutes of higher education in the Middle East Gulf Region.